Overview

Dataset statistics

Number of variables26
Number of observations18214
Missing cells99919
Missing cells (%)21.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 MiB
Average record size in memory208.0 B

Variable types

NUM22
CAT4

Warnings

country has constant value "18214" Constant
city has constant value "18214" Constant
date has a high cardinality: 667 distinct values High cardinality
newCases is highly correlated with newDeathsHigh correlation
newDeaths is highly correlated with newCasesHigh correlation
totalCases is highly correlated with deaths and 7 other fieldsHigh correlation
deaths is highly correlated with totalCases and 6 other fieldsHigh correlation
deathsMS is highly correlated with deaths and 6 other fieldsHigh correlation
totalCasesMS is highly correlated with deaths and 7 other fieldsHigh correlation
totalCases_per_100k_inhabitants is highly correlated with deaths_per_100k_inhabitants and 1 other fieldsHigh correlation
deaths_per_100k_inhabitants is highly correlated with totalCases_per_100k_inhabitantsHigh correlation
recovered is highly correlated with deaths and 7 other fieldsHigh correlation
suspects is highly correlated with totalCases and 2 other fieldsHigh correlation
tests is highly correlated with deaths and 5 other fieldsHigh correlation
tests_per_100k_inhabitants is highly correlated with totalCases_per_100k_inhabitantsHigh correlation
vaccinated is highly correlated with deaths and 6 other fieldsHigh correlation
vaccinated_per_100_inhabitants is highly correlated with epi_week and 1 other fieldsHigh correlation
epi_week is highly correlated with vaccinated_per_100_inhabitants and 1 other fieldsHigh correlation
vaccinated_second is highly correlated with vaccinated and 1 other fieldsHigh correlation
vaccinated_second_per_100_inhabitants is highly correlated with epi_week and 1 other fieldsHigh correlation
vaccinated_single is highly correlated with deaths and 7 other fieldsHigh correlation
recovered has 643 (3.5%) missing values Missing
suspects has 2544 (14.0%) missing values Missing
tests has 1344 (7.4%) missing values Missing
tests_per_100k_inhabitants has 1344 (7.4%) missing values Missing
vaccinated has 8731 (47.9%) missing values Missing
vaccinated_per_100_inhabitants has 8731 (47.9%) missing values Missing
vaccinated_second has 9411 (51.7%) missing values Missing
vaccinated_second_per_100_inhabitants has 9411 (51.7%) missing values Missing
vaccinated_single has 13310 (73.1%) missing values Missing
vaccinated_single_per_100_inhabitants has 13310 (73.1%) missing values Missing
vaccinated_third has 15570 (85.5%) missing values Missing
vaccinated_third_per_100_inhabitants has 15570 (85.5%) missing values Missing
date is uniformly distributed Uniform
state is uniformly distributed Uniform
newDeaths has 1911 (10.5%) zeros Zeros
deaths has 461 (2.5%) zeros Zeros
newCases has 506 (2.8%) zeros Zeros
deathsMS has 470 (2.6%) zeros Zeros
deaths_per_100k_inhabitants has 461 (2.5%) zeros Zeros
deaths_by_totalCases has 461 (2.5%) zeros Zeros

Reproduction

Analysis started2022-01-04 21:25:18.371379
Analysis finished2022-01-04 21:26:57.325916
Duration1 minute and 38.95 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

epi_week
Real number (ℝ≥0)

HIGH CORRELATION

Distinct96
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.17986164
Minimum9
Maximum151
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:26:57.429922image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile16
Q134
median105
Q3128
95-th percentile146
Maximum151
Range142
Interquartile range (IQR)94

Descriptive statistics

Standard deviation48.49770269
Coefficient of variation (CV)0.5830462053
Kurtosis-1.692031814
Mean83.17986164
Median Absolute Deviation (MAD)42
Skewness-0.118534884
Sum1515038
Variance2352.027166
MonotocityIncreasing
2022-01-04T18:26:57.582933image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
161961.1%
 
1371961.1%
 
1231961.1%
 
1071961.1%
 
431961.1%
 
271961.1%
 
1381961.1%
 
1221961.1%
 
1061961.1%
 
421961.1%
 
Other values (86)1625489.2%
 
ValueCountFrequency (%) 
9100.1%
 
10220.1%
 
11800.4%
 
121540.8%
 
131961.1%
 
ValueCountFrequency (%) 
1511120.6%
 
1501961.1%
 
1491961.1%
 
1481961.1%
 
1471961.1%
 

date
Categorical

HIGH CARDINALITY
UNIFORM

Distinct667
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size142.3 KiB
2021-10-14
 
28
2020-07-19
 
28
2020-08-10
 
28
2020-12-26
 
28
2021-05-25
 
28
Other values (662)
18074 
ValueCountFrequency (%) 
2021-10-14280.2%
 
2020-07-19280.2%
 
2020-08-10280.2%
 
2020-12-26280.2%
 
2021-05-25280.2%
 
2021-11-06280.2%
 
2021-03-15280.2%
 
2020-11-28280.2%
 
2020-11-27280.2%
 
2020-10-23280.2%
 
Other values (657)1793498.5%
 
2022-01-04T18:26:57.791949image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-01-04T18:26:57.955962image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length10
Min length10

country
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size142.3 KiB
Brazil
18214 
ValueCountFrequency (%) 
Brazil18214100.0%
 
2022-01-04T18:26:58.097972image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-01-04T18:26:58.191979image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:58.285987image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length6
Mean length6
Min length6

state
Categorical

UNIFORM

Distinct28
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size142.3 KiB
TOTAL
 
667
SP
 
667
RJ
 
658
ES
 
657
BA
 
657
Other values (23)
14908 
ValueCountFrequency (%) 
TOTAL6673.7%
 
SP6673.7%
 
RJ6583.6%
 
ES6573.6%
 
BA6573.6%
 
DF6563.6%
 
MG6553.6%
 
AL6553.6%
 
RS6533.6%
 
PR6513.6%
 
Other values (18)1163863.9%
 
2022-01-04T18:26:58.443000image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-01-04T18:26:58.608011image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length5
Median length2
Mean length2.109860547
Min length2

city
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size142.3 KiB
TOTAL
18214 
ValueCountFrequency (%) 
TOTAL18214100.0%
 
2022-01-04T18:26:58.766023image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-01-04T18:26:58.867031image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:58.969038image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length5
Median length5
Mean length5
Min length5

newDeaths
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct887
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.8832766
Minimum-38
Maximum4148
Zeros1911
Zeros (%)10.5%
Memory size142.3 KiB
2022-01-04T18:26:59.125052image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-38
5-th percentile0
Q14
median13
Q337
95-th percentile258
Maximum4148
Range4186
Interquartile range (IQR)33

Descriptive statistics

Standard deviation237.478655
Coefficient of variation (CV)3.498338131
Kurtosis86.17063929
Mean67.8832766
Median Absolute Deviation (MAD)12
Skewness8.171235938
Sum1236426
Variance56396.11156
MonotocityNot monotonic
2022-01-04T18:26:59.291064image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0191110.5%
 
19895.4%
 
27994.4%
 
37254.0%
 
46813.7%
 
56613.6%
 
66003.3%
 
75232.9%
 
94912.7%
 
84602.5%
 
Other values (877)1037457.0%
 
ValueCountFrequency (%) 
-381< 0.1%
 
-372< 0.1%
 
-261< 0.1%
 
-171< 0.1%
 
-61< 0.1%
 
ValueCountFrequency (%) 
41481< 0.1%
 
40681< 0.1%
 
39251< 0.1%
 
37571< 0.1%
 
37521< 0.1%
 

deaths
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct11301
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20985.52487
Minimum0
Maximum618213
Zeros461
Zeros (%)2.5%
Memory size142.3 KiB
2022-01-04T18:26:59.469076image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q11607.25
median5371
Q312852.75
95-th percentile64907.6
Maximum618213
Range618213
Interquartile range (IQR)11245.5

Descriptive statistics

Standard deviation69351.2073
Coefficient of variation (CV)3.304716357
Kurtosis47.82820066
Mean20985.52487
Median Absolute Deviation (MAD)4486.5
Skewness6.645969636
Sum382230350
Variance4809589954
MonotocityNot monotonic
2022-01-04T18:26:59.632091image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04612.5%
 
1860.5%
 
2680.4%
 
4520.3%
 
3470.3%
 
5380.2%
 
7330.2%
 
1845310.2%
 
6290.2%
 
11290.2%
 
Other values (11291)1734095.2%
 
ValueCountFrequency (%) 
04612.5%
 
1860.5%
 
2680.4%
 
3470.3%
 
4520.3%
 
ValueCountFrequency (%) 
6182132< 0.1%
 
6181491< 0.1%
 
6180661< 0.1%
 
6180111< 0.1%
 
6178731< 0.1%
 

newCases
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct4709
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2440.304052
Minimum-1582
Maximum124878
Zeros506
Zeros (%)2.8%
Memory size142.3 KiB
2022-01-04T18:26:59.820102image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1582
5-th percentile4
Q1180
median608
Q31534
95-th percentile8210.45
Maximum124878
Range126460
Interquartile range (IQR)1354

Descriptive statistics

Standard deviation8023.097762
Coefficient of variation (CV)3.28774513
Kurtosis58.84040605
Mean2440.304052
Median Absolute Deviation (MAD)514.5
Skewness7.072100496
Sum44447698
Variance64370097.7
MonotocityNot monotonic
2022-01-04T18:26:59.989116image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05062.8%
 
11340.7%
 
21100.6%
 
3840.5%
 
7700.4%
 
4640.4%
 
5580.3%
 
8560.3%
 
6530.3%
 
9510.3%
 
Other values (4699)1702893.5%
 
ValueCountFrequency (%) 
-15821< 0.1%
 
-10331< 0.1%
 
-10151< 0.1%
 
-8501< 0.1%
 
-6491< 0.1%
 
ValueCountFrequency (%) 
1248781< 0.1%
 
1242481< 0.1%
 
1071201< 0.1%
 
1052001< 0.1%
 
982611< 0.1%
 

totalCases
Real number (ℝ≥0)

HIGH CORRELATION

Distinct16960
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean757708.0629
Minimum1
Maximum22223849
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:00.191130image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile383.65
Q174847.75
median220818
Q3496949.5
95-th percentile2104693.65
Maximum22223849
Range22223848
Interquartile range (IQR)422101.75

Descriptive statistics

Standard deviation2485050.639
Coefficient of variation (CV)3.279694067
Kurtosis48.52086964
Mean757708.0629
Median Absolute Deviation (MAD)173156.5
Skewness6.740311732
Sum1.380089466e+10
Variance6.175476677e+12
MonotocityNot monotonic
2022-01-04T18:27:00.358143image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1680.4%
 
2460.3%
 
6230.1%
 
16190.1%
 
3180.1%
 
7170.1%
 
10170.1%
 
8160.1%
 
234113150.1%
 
379502140.1%
 
Other values (16950)1796198.6%
 
ValueCountFrequency (%) 
1680.4%
 
2460.3%
 
3180.1%
 
4130.1%
 
59< 0.1%
 
ValueCountFrequency (%) 
222238492< 0.1%
 
222202091< 0.1%
 
222175701< 0.1%
 
222161121< 0.1%
 
222137311< 0.1%
 

deathsMS
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct11254
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20968.18008
Minimum0
Maximum617948
Zeros470
Zeros (%)2.6%
Memory size142.3 KiB
2022-01-04T18:27:00.539157image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q11602
median5354
Q312825.5
95-th percentile64897.45
Maximum617948
Range617948
Interquartile range (IQR)11223.5

Descriptive statistics

Standard deviation69307.90499
Coefficient of variation (CV)3.30538486
Kurtosis47.83816664
Mean20968.18008
Median Absolute Deviation (MAD)4478.5
Skewness6.64634747
Sum381914432
Variance4803585694
MonotocityNot monotonic
2022-01-04T18:27:00.701169image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04702.6%
 
1890.5%
 
2620.3%
 
4530.3%
 
3530.3%
 
5390.2%
 
1845310.2%
 
7290.2%
 
11280.2%
 
6270.1%
 
Other values (11244)1733395.2%
 
ValueCountFrequency (%) 
04702.6%
 
1890.5%
 
2620.3%
 
3530.3%
 
4530.3%
 
ValueCountFrequency (%) 
6179482< 0.1%
 
6178731< 0.1%
 
6178031< 0.1%
 
6177541< 0.1%
 
6176011< 0.1%
 

totalCasesMS
Real number (ℝ≥0)

HIGH CORRELATION

Distinct16978
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean757206.1143
Minimum0
Maximum22219477
Zeros19
Zeros (%)0.1%
Memory size142.3 KiB
2022-01-04T18:27:00.891184image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile364
Q174666.75
median220416.5
Q3495631.5
95-th percentile2104693.65
Maximum22219477
Range22219477
Interquartile range (IQR)420964.75

Descriptive statistics

Standard deviation2483917.426
Coefficient of variation (CV)3.280371591
Kurtosis48.5373291
Mean757206.1143
Median Absolute Deviation (MAD)173035.5
Skewness6.741205634
Sum1.379175217e+10
Variance6.169845777e+12
MonotocityNot monotonic
2022-01-04T18:27:01.059196image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1730.4%
 
2480.3%
 
6220.1%
 
0190.1%
 
3190.1%
 
16190.1%
 
7150.1%
 
11140.1%
 
234113140.1%
 
1264804140.1%
 
Other values (16968)1795798.6%
 
ValueCountFrequency (%) 
0190.1%
 
1730.4%
 
2480.3%
 
3190.1%
 
4110.1%
 
ValueCountFrequency (%) 
222194772< 0.1%
 
222158561< 0.1%
 
222137621< 0.1%
 
222123431< 0.1%
 
222090201< 0.1%
 

deaths_per_100k_inhabitants
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct16292
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.6796306
Minimum0
Maximum402.78769
Zeros461
Zeros (%)2.5%
Memory size142.3 KiB
2022-01-04T18:27:01.249210image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2683345
Q153.0177475
median111.27441
Q3218.820755
95-th percentile339.0719975
Maximum402.78769
Range402.78769
Interquartile range (IQR)165.8030075

Descriptive statistics

Standard deviation108.8674461
Coefficient of variation (CV)0.779408176
Kurtosis-0.7986995749
Mean139.6796306
Median Absolute Deviation (MAD)81.64855
Skewness0.5339560181
Sum2544124.793
Variance11852.12083
MonotocityNot monotonic
2022-01-04T18:27:01.414222image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04612.5%
 
209.19909300.2%
 
249.67162150.1%
 
349.26408150.1%
 
0.49524150.1%
 
209.65264140.1%
 
350.56653140.1%
 
0.17401120.1%
 
234.82644100.1%
 
235.65413100.1%
 
Other values (16282)1761896.7%
 
ValueCountFrequency (%) 
04612.5%
 
0.000471< 0.1%
 
0.001881< 0.1%
 
0.002181< 0.1%
 
0.003281< 0.1%
 
ValueCountFrequency (%) 
402.787692< 0.1%
 
402.730291< 0.1%
 
402.644193< 0.1%
 
402.50071< 0.1%
 
402.44333< 0.1%
 

totalCases_per_100k_inhabitants
Real number (ℝ≥0)

HIGH CORRELATION

Distinct17701
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6008.136497
Minimum0.00047
Maximum21260.19998
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:01.612237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.00047
5-th percentile7.020105
Q11877.835388
median4996.23278
Q39735.04662
95-th percentile14840.18062
Maximum21260.19998
Range21260.19951
Interquartile range (IQR)7857.211232

Descriptive statistics

Standard deviation4880.167066
Coefficient of variation (CV)0.8122596863
Kurtosis-0.4188710013
Mean6008.136497
Median Absolute Deviation (MAD)3740.535975
Skewness0.6358312677
Sum109432198.2
Variance23816030.59
MonotocityNot monotonic
2022-01-04T18:27:01.771251image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14884.48476150.1%
 
13656.13213140.1%
 
8503.99084140.1%
 
13437.65219130.1%
 
0.02488120.1%
 
0.02996110.1%
 
10243.01369100.1%
 
0.028528< 0.1%
 
15782.75126< 0.1%
 
14960.345486< 0.1%
 
Other values (17691)1810599.4%
 
ValueCountFrequency (%) 
0.000473< 0.1%
 
0.000945< 0.1%
 
0.001411< 0.1%
 
0.002183< 0.1%
 
0.003281< 0.1%
 
ValueCountFrequency (%) 
21260.199984< 0.1%
 
21259.539652< 0.1%
 
21258.714251< 0.1%
 
21257.558671< 0.1%
 
21256.40311< 0.1%
 

deaths_by_totalCases
Real number (ℝ≥0)

ZEROS

Distinct4225
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02711287855
Minimum0
Maximum0.22222
Zeros461
Zeros (%)2.5%
Memory size142.3 KiB
2022-01-04T18:27:01.941262image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01279
Q10.01994
median0.02421
Q30.02865
95-th percentile0.0583435
Maximum0.22222
Range0.22222
Interquartile range (IQR)0.00871

Descriptive statistics

Standard deviation0.01548039036
Coefficient of variation (CV)0.5709607826
Kurtosis15.2057768
Mean0.02711287855
Median Absolute Deviation (MAD)0.00432
Skewness2.843580144
Sum493.83397
Variance0.0002396424856
MonotocityNot monotonic
2022-01-04T18:27:02.097274image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04612.5%
 
0.02794410.2%
 
0.02161400.2%
 
0.02795370.2%
 
0.02174370.2%
 
0.02166370.2%
 
0.02558360.2%
 
0.01616360.2%
 
0.02066350.2%
 
0.02421340.2%
 
Other values (4215)1742095.6%
 
ValueCountFrequency (%) 
04612.5%
 
0.0031< 0.1%
 
0.003361< 0.1%
 
0.003831< 0.1%
 
0.005081< 0.1%
 
ValueCountFrequency (%) 
0.222222< 0.1%
 
0.210532< 0.1%
 
0.18751< 0.1%
 
0.181821< 0.1%
 
0.1751< 0.1%
 

recovered
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct9169
Distinct (%)52.2%
Missing643
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean709266.6757
Minimum1
Maximum21057998
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:02.279288image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile570.5
Q171378.5
median207128
Q3470229
95-th percentile2007263
Maximum21057998
Range21057997
Interquartile range (IQR)398850.5

Descriptive statistics

Standard deviation2315092.464
Coefficient of variation (CV)3.264064905
Kurtosis48.68700362
Mean709266.6757
Median Absolute Deviation (MAD)158462
Skewness6.730371536
Sum1.246252476e+10
Variance5.359653118e+12
MonotocityNot monotonic
2022-01-04T18:27:02.445300image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1506491640.9%
 
11110.6%
 
256642900.5%
 
1524400.2%
 
85917360.2%
 
3340.2%
 
271474330.2%
 
233154330.2%
 
413270330.2%
 
365849330.2%
 
Other values (9159)1696493.1%
 
(Missing)6433.5%
 
ValueCountFrequency (%) 
11110.6%
 
22< 0.1%
 
3340.2%
 
5100.1%
 
7190.1%
 
ValueCountFrequency (%) 
210579984< 0.1%
 
21041915150.1%
 
210416353< 0.1%
 
208668547< 0.1%
 
208296561< 0.1%
 

suspects
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct2916
Distinct (%)18.6%
Missing2544
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean328097.425
Minimum1
Maximum7958935
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:02.623313image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile204.9
Q11381
median11304
Q3100417.25
95-th percentile1190573
Maximum7958935
Range7958934
Interquartile range (IQR)99036.25

Descriptive statistics

Standard deviation1135846.268
Coefficient of variation (CV)3.461917654
Kurtosis26.10361806
Mean328097.425
Median Absolute Deviation (MAD)10985
Skewness4.989507639
Sum5141286650
Variance1.290146744e+12
MonotocityNot monotonic
2022-01-04T18:27:02.795326image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
520173401.9%
 
50951891.0%
 
3591480.8%
 
5661400.8%
 
126341320.7%
 
2921290.7%
 
8331280.7%
 
13861270.7%
 
9191270.7%
 
40911260.7%
 
Other values (2906)1408477.3%
 
(Missing)254414.0%
 
ValueCountFrequency (%) 
11< 0.1%
 
22< 0.1%
 
32< 0.1%
 
4410.2%
 
74< 0.1%
 
ValueCountFrequency (%) 
79589351260.7%
 
7614414440.2%
 
6929736190.1%
 
6655234170.1%
 
6395973160.1%
 

tests
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct4241
Distinct (%)25.1%
Missing1344
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean2471467.978
Minimum854
Maximum65497639
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:02.988341image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum854
5-th percentile25302.75
Q1234886
median669696
Q31517052
95-th percentile7025614
Maximum65497639
Range65496785
Interquartile range (IQR)1282166

Descriptive statistics

Standard deviation7715283.843
Coefficient of variation (CV)3.121741374
Kurtosis38.32912071
Mean2471467.978
Median Absolute Deviation (MAD)482472
Skewness5.987523409
Sum4.169366479e+10
Variance5.952560479e+13
MonotocityNot monotonic
2022-01-04T18:27:03.148353image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
23135023602.0%
 
7821183291.8%
 
9990041891.0%
 
9807271710.9%
 
141834901470.8%
 
19781171250.7%
 
11368001240.7%
 
10277821210.7%
 
23202661170.6%
 
55382491170.6%
 
Other values (4231)1507082.7%
 
(Missing)13447.4%
 
ValueCountFrequency (%) 
8541< 0.1%
 
9081< 0.1%
 
9243< 0.1%
 
9603< 0.1%
 
11464< 0.1%
 
ValueCountFrequency (%) 
654976394< 0.1%
 
65380088180.1%
 
651914467< 0.1%
 
651824442< 0.1%
 
64755932140.1%
 

tests_per_100k_inhabitants
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct4246
Distinct (%)25.2%
Missing1344
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean17370.44963
Minimum36.76166
Maximum62512.00608
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:03.340368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum36.76166
5-th percentile537.32035
Q17011.51445
median15299.99892
Q325938.58987
95-th percentile41868.98793
Maximum62512.00608
Range62475.24442
Interquartile range (IQR)18927.07542

Descriptive statistics

Standard deviation12785.68162
Coefficient of variation (CV)0.7360593361
Kurtosis0.4269755484
Mean17370.44963
Median Absolute Deviation (MAD)9498.11776
Skewness0.8004062339
Sum293039485.2
Variance163473654.5
MonotocityNot monotonic
2022-01-04T18:27:03.511380image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13399.99793602.0%
 
25938.589873291.8%
 
11612.457011891.0%
 
11400.004531710.9%
 
30888.03081470.8%
 
13299.996561250.7%
 
32624.798181240.7%
 
24798.116681170.6%
 
16171.993881170.6%
 
26162.33021170.6%
 
Other values (4236)1507482.8%
 
(Missing)13447.4%
 
ValueCountFrequency (%) 
36.761661< 0.1%
 
37.205713< 0.1%
 
39.368211< 0.1%
 
41.961413< 0.1%
 
43.866463< 0.1%
 
ValueCountFrequency (%) 
62512.00608550.3%
 
58637.48244220.1%
 
57829.08748170.1%
 
57238.41581330.2%
 
56466.49421150.1%
 

vaccinated
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct8082
Distinct (%)85.2%
Missing8731
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean5846245.467
Minimum2
Maximum160667831
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:03.710397image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile38511
Q1361351
median1402720
Q33830004
95-th percentile16396021.9
Maximum160667831
Range160667829
Interquartile range (IQR)3468653

Descriptive statistics

Standard deviation19128532.64
Coefficient of variation (CV)3.271934569
Kurtosis43.18663067
Mean5846245.467
Median Absolute Deviation (MAD)1203575
Skewness6.375926657
Sum5.543994576e+10
Variance3.65900761e+14
MonotocityNot monotonic
2022-01-04T18:27:03.898413image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1205877340.2%
 
10692831220.1%
 
13024072170.1%
 
3160.1%
 
566240140.1%
 
2541765140.1%
 
507972140.1%
 
5776792140.1%
 
3092431140.1%
 
1054924140.1%
 
Other values (8072)931051.1%
 
(Missing)873147.9%
 
ValueCountFrequency (%) 
2110.1%
 
3160.1%
 
4100.1%
 
56< 0.1%
 
64< 0.1%
 
ValueCountFrequency (%) 
1606678311< 0.1%
 
1606441021< 0.1%
 
1605645791< 0.1%
 
1605123501< 0.1%
 
1605036701< 0.1%
 

vaccinated_per_100_inhabitants
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct8092
Distinct (%)85.3%
Missing8731
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean36.60396681
Minimum1e-05
Maximum83.28754
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:04.110426image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1e-05
5-th percentile1.32248
Q110.54077
median34.8994
Q363.36793
95-th percentile75.592603
Maximum83.28754
Range83.28753
Interquartile range (IQR)52.82716

Descriptive statistics

Standard deviation27.03898519
Coefficient of variation (CV)0.7386900257
Kurtosis-1.519773236
Mean36.60396681
Median Absolute Deviation (MAD)26.50727
Skewness0.1114544285
Sum347115.4173
Variance731.10672
MonotocityNot monotonic
2022-01-04T18:27:04.274438image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
67.85168340.2%
 
71.89394220.1%
 
75.43652170.1%
 
70.28292140.1%
 
78.26953140.1%
 
72.94561140.1%
 
60.06307140.1%
 
76.962140.1%
 
80.62754140.1%
 
79.03029140.1%
 
Other values (8082)931251.1%
 
(Missing)873147.9%
 
ValueCountFrequency (%) 
1e-051< 0.1%
 
2e-055< 0.1%
 
3e-053< 0.1%
 
4e-054< 0.1%
 
5e-054< 0.1%
 
ValueCountFrequency (%) 
83.287541< 0.1%
 
83.279791< 0.1%
 
83.257041< 0.1%
 
83.232571< 0.1%
 
83.231491< 0.1%
 

vaccinated_second
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct7605
Distinct (%)86.4%
Missing9411
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean3630527.088
Minimum1
Maximum137114385
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:04.444451image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22289
Q1189675
median711406
Q32094741.5
95-th percentile10614156.8
Maximum137114385
Range137114384
Interquartile range (IQR)1905066.5

Descriptive statistics

Standard deviation12952751.5
Coefficient of variation (CV)3.567733055
Kurtosis60.82938132
Mean3630527.088
Median Absolute Deviation (MAD)642658
Skewness7.391764128
Sum3.195952996e+10
Variance1.677737714e+14
MonotocityNot monotonic
2022-01-04T18:27:04.614464image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10466084170.1%
 
7587786140.1%
 
240014140.1%
 
258351140.1%
 
1968749140.1%
 
1760829140.1%
 
326494140.1%
 
7692839140.1%
 
799151140.1%
 
420673140.1%
 
Other values (7595)866047.5%
 
(Missing)941151.7%
 
ValueCountFrequency (%) 
14< 0.1%
 
42< 0.1%
 
361< 0.1%
 
652< 0.1%
 
751< 0.1%
 
ValueCountFrequency (%) 
1371143851< 0.1%
 
1370051051< 0.1%
 
1367955541< 0.1%
 
1365825621< 0.1%
 
1365690451< 0.1%
 

vaccinated_second_per_100_inhabitants
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct7620
Distinct (%)86.6%
Missing9411
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean21.85981066
Minimum0
Maximum76.74488
Zeros4
Zeros (%)< 0.1%
Memory size142.3 KiB
2022-01-04T18:27:04.831481image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.76389
Q16.244625
median13.48632
Q336.98652
95-th percentile60.62044
Maximum76.74488
Range76.74488
Interquartile range (IQR)30.741895

Descriptive statistics

Standard deviation19.78980513
Coefficient of variation (CV)0.9053054227
Kurtosis-0.5760016579
Mean21.85981066
Median Absolute Deviation (MAD)11.34455
Skewness0.8188978835
Sum192431.9132
Variance391.6363871
MonotocityNot monotonic
2022-01-04T18:27:05.010493image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
60.62044170.1%
 
47.69887140.1%
 
60.37271140.1%
 
50.80859140.1%
 
67.61604140.1%
 
56.50074140.1%
 
42.649140.1%
 
57.84339140.1%
 
66.36186140.1%
 
52.76118140.1%
 
Other values (7610)866047.5%
 
(Missing)941151.7%
 
ValueCountFrequency (%) 
04< 0.1%
 
0.000121< 0.1%
 
0.000451< 0.1%
 
0.000921< 0.1%
 
0.00111< 0.1%
 
ValueCountFrequency (%) 
76.744881< 0.1%
 
76.712421< 0.1%
 
76.612981< 0.1%
 
76.509351< 0.1%
 
76.504251< 0.1%
 

vaccinated_single
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct2796
Distinct (%)57.0%
Missing13310
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean316907.1011
Minimum35
Maximum4947888
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:05.210508image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile10292
Q140525.5
median97788.5
Q3248043.75
95-th percentile1161138.5
Maximum4947888
Range4947853
Interquartile range (IQR)207518.25

Descriptive statistics

Standard deviation836813.3358
Coefficient of variation (CV)2.640563537
Kurtosis21.69225839
Mean316907.1011
Median Absolute Deviation (MAD)67856.5
Skewness4.710802522
Sum1554112424
Variance7.002565591e+11
MonotocityNot monotonic
2022-01-04T18:27:05.406523image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
40125850.5%
 
261797800.4%
 
115144470.3%
 
172991330.2%
 
175537300.2%
 
328122280.2%
 
10957280.2%
 
35820260.1%
 
93201220.1%
 
173073200.1%
 
Other values (2786)450524.7%
 
(Missing)1331073.1%
 
ValueCountFrequency (%) 
352< 0.1%
 
1951< 0.1%
 
3001< 0.1%
 
4421< 0.1%
 
7361< 0.1%
 
ValueCountFrequency (%) 
49478881< 0.1%
 
49472551< 0.1%
 
49466201< 0.1%
 
49453481< 0.1%
 
49177551< 0.1%
 

vaccinated_single_per_100_inhabitants
Real number (ℝ≥0)

MISSING

Distinct2791
Distinct (%)56.9%
Missing13310
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean2.0743524
Minimum8e-05
Maximum9.43855
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:05.580536image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum8e-05
5-th percentile0.6882545
Q11.5256
median1.78988
Q32.2937475
95-th percentile3.35124
Maximum9.43855
Range9.43847
Interquartile range (IQR)0.7681475

Descriptive statistics

Standard deviation1.367851674
Coefficient of variation (CV)0.6594114259
Kurtosis14.36961417
Mean2.0743524
Median Absolute Deviation (MAD)0.37026
Skewness3.496487691
Sum10172.62417
Variance1.871018202
MonotocityNot monotonic
2022-01-04T18:27:05.737549image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.74555850.5%
 
1.76021800.4%
 
2.86524470.3%
 
1.81008330.2%
 
1.83672300.2%
 
1.8088280.2%
 
2.86972280.2%
 
2.0155260.1%
 
2.67476220.1%
 
1.81094200.1%
 
Other values (2781)450524.7%
 
(Missing)1331073.1%
 
ValueCountFrequency (%) 
8e-052< 0.1%
 
0.001711< 0.1%
 
0.004591< 0.1%
 
0.008611< 0.1%
 
0.01351< 0.1%
 
ValueCountFrequency (%) 
9.438551< 0.1%
 
9.298289< 0.1%
 
9.298251< 0.1%
 
9.298181< 0.1%
 
9.279321< 0.1%
 

vaccinated_third
Real number (ℝ≥0)

MISSING

Distinct1867
Distinct (%)70.6%
Missing15570
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean744130.9433
Minimum1
Maximum23983696
Zeros0
Zeros (%)0.0%
Memory size142.3 KiB
2022-01-04T18:27:05.915564image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile779.15
Q129358
median157487.5
Q3422110.5
95-th percentile2583996.25
Maximum23983696
Range23983695
Interquartile range (IQR)392752.5

Descriptive statistics

Standard deviation2444885.816
Coefficient of variation (CV)3.285558594
Kurtosis43.91303475
Mean744130.9433
Median Absolute Deviation (MAD)142411.5
Skewness6.282892762
Sum1967482214
Variance5.977466654e+12
MonotocityNot monotonic
2022-01-04T18:27:06.128577image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1240.1%
 
1819319170.1%
 
1370365140.1%
 
342135140.1%
 
577890140.1%
 
21345140.1%
 
181631140.1%
 
19443140.1%
 
21329140.1%
 
176421140.1%
 
Other values (1857)249113.7%
 
(Missing)1557085.5%
 
ValueCountFrequency (%) 
1240.1%
 
38< 0.1%
 
72< 0.1%
 
113< 0.1%
 
124< 0.1%
 
ValueCountFrequency (%) 
239836961< 0.1%
 
237758901< 0.1%
 
233266431< 0.1%
 
228462321< 0.1%
 
228204761< 0.1%
 

vaccinated_third_per_100_inhabitants
Real number (ℝ≥0)

MISSING

Distinct1869
Distinct (%)70.7%
Missing15570
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean4.088762485
Minimum0
Maximum21.47884
Zeros11
Zeros (%)0.1%
Memory size142.3 KiB
2022-01-04T18:27:06.327593image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.028371
Q11.01241
median3.302505
Q36.40928
95-th percentile10.7075885
Maximum21.47884
Range21.47884
Interquartile range (IQR)5.39687

Descriptive statistics

Standard deviation3.686721684
Coefficient of variation (CV)0.9016717644
Kurtosis1.384662198
Mean4.088762485
Median Absolute Deviation (MAD)2.52223
Skewness1.133620939
Sum10810.68801
Variance13.59191678
MonotocityNot monotonic
2022-01-04T18:27:06.504607image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10.53765170.1%
 
5.06307140.1%
 
5.44236140.1%
 
12.04479140.1%
 
8.40327140.1%
 
2.29896140.1%
 
3.52367140.1%
 
8.51479140.1%
 
6.5034140.1%
 
6.86135140.1%
 
Other values (1859)250113.7%
 
(Missing)1557085.5%
 
ValueCountFrequency (%) 
0110.1%
 
2e-056< 0.1%
 
3e-055< 0.1%
 
5e-053< 0.1%
 
6e-056< 0.1%
 
ValueCountFrequency (%) 
21.478841< 0.1%
 
21.464881< 0.1%
 
20.368183< 0.1%
 
19.955012< 0.1%
 
18.989161< 0.1%
 

Interactions

2022-01-04T18:25:24.904310image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:25:25.124327image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:25:25.307341image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:25:25.489355image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:25:25.677369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:25:25.853382image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2022-01-04T18:26:37.957811image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:38.126823image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:38.323838image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:38.507852image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:38.674864image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:38.860879image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:39.035892image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:39.219905image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:39.380918image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:39.555933image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:39.722945image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:39.898959image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:40.065969image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:40.224982image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:40.376993image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:40.611011image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:40.785024image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:40.948036image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:41.117050image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:41.275062image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:41.439074image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:41.637089image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:41.820101image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:41.974113image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:42.152127image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:42.322140image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:42.481153image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:42.658165image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:42.817177image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:42.984189image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:43.198207image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:43.367218image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:43.517229image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:43.683241image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:43.838253image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:44.020267image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:44.183280image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:44.368294image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:44.547307image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:44.717320image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:44.890332image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:45.053345image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:45.233359image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:45.422373image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:45.642391image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:45.831403image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:46.018417image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:46.204431image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:46.378445image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:46.568459image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:46.753473image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:46.935487image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:47.108500image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:47.276513image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:47.431524image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:47.606537image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:47.767550image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:47.936562image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:48.079572image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:48.239584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:48.398597image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:48.550608image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:48.713620image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:48.867632image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:49.021644image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:49.198657image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:49.364670image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:51.815728image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:52.007742image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:52.185756image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:52.363769image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:52.544782image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:52.711796image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:52.883808image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:53.041820image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:53.200831image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:53.341842image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:53.502854image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Correlations

2022-01-04T18:27:06.715622image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-01-04T18:27:07.262663image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-01-04T18:27:07.803704image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-01-04T18:27:08.331743image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-01-04T18:26:53.872655image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:55.827801image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:56.358842image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-01-04T18:26:57.004891image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Sample

First rows

epi_weekdatecountrystatecitynewDeathsdeathsnewCasestotalCasesdeathsMStotalCasesMSdeaths_per_100k_inhabitantstotalCases_per_100k_inhabitantsdeaths_by_totalCasesrecoveredsuspectsteststests_per_100k_inhabitantsvaccinatedvaccinated_per_100_inhabitantsvaccinated_secondvaccinated_second_per_100_inhabitantsvaccinated_singlevaccinated_single_per_100_inhabitantsvaccinated_thirdvaccinated_third_per_100_inhabitants
092020-02-25BrazilSPTOTAL0011000.00.002180.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
192020-02-25BrazilTOTALTOTAL0011000.00.000470.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
292020-02-26BrazilSPTOTAL0001010.00.002180.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
392020-02-26BrazilTOTALTOTAL0001010.00.000470.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
492020-02-27BrazilSPTOTAL0001010.00.002180.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
592020-02-27BrazilTOTALTOTAL0001010.00.000470.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
692020-02-28BrazilSPTOTAL0012010.00.004360.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
792020-02-28BrazilTOTALTOTAL0012010.00.000940.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
892020-02-29BrazilSPTOTAL0002020.00.004360.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
992020-02-29BrazilTOTALTOTAL0002020.00.000940.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

Last rows

epi_weekdatecountrystatecitynewDeathsdeathsnewCasestotalCasesdeathsMStotalCasesMSdeaths_per_100k_inhabitantstotalCases_per_100k_inhabitantsdeaths_by_totalCasesrecoveredsuspectsteststests_per_100k_inhabitantsvaccinatedvaccinated_per_100_inhabitantsvaccinated_secondvaccinated_second_per_100_inhabitantsvaccinated_singlevaccinated_single_per_100_inhabitantsvaccinated_thirdvaccinated_third_per_100_inhabitants
182041512021-12-22BrazilRJTOTAL06934701349608693471349608401.663657817.042890.051381274186.052017.02313502.013399.9979013024072.075.4365210466084.060.62044365251.02.115561819319.010.53765
182051512021-12-22BrazilRNTOTAL0755403853747554385374215.4068010989.168920.01960256642.0172078.01066514.030412.281322615942.074.595142270714.064.7507659688.01.70204458911.013.08612
182061512021-12-22BrazilROTOTAL0670602829626706282962377.3298315921.563110.02370267994.0394865.01110979.062512.006081228913.069.147861002724.056.4207736097.02.03109115580.06.50340
182071512021-12-22BrazilRRTOTAL0207001287862070128786341.7189321260.199980.01607125676.05095.0355203.058637.48244375645.062.01208258351.042.6490010957.01.8088021345.03.52367
182081512021-12-22BrazilRSTOTAL03637701500037363771500037319.7348713184.543280.024251462593.010647.06080338.053443.001428904911.078.269537692839.067.61604304620.02.677451370365.012.04479
182091512021-12-22BrazilSCTOTAL02013501238751201351238751281.0271617289.429920.016251209453.0189692.02568392.035847.424935776792.080.627544833654.067.46402260762.03.63949577890.08.06570
182101512021-12-22BrazilSETOTAL0605602784396056278439263.4537112112.910970.02175271606.0445.0604183.026283.727821736819.075.556711493990.064.9929440125.01.74555201941.08.78502
182111512021-12-22BrazilSPTOTAL0155008044501441550084450141337.567979691.280850.034834270000.01137203.019501783.042469.9191838244847.083.2875435240521.076.744881184742.02.580078649974.018.83744
182121512021-12-22BrazilTOTOTAL0392702341133927234113249.6716214884.484760.01677228371.0359.0721136.045848.533821054924.067.07018799151.050.8085934337.02.1830881992.05.21290
182131512021-12-22BrazilTOTALTOTAL061821302222384961794822219477289.8086610418.195660.0278221057998.07958935.065497639.030704.27711160667831.075.31859137114385.064.277104917755.02.3053723983696.011.24318